diff --git a/results/figures/set_theme_defaults.pdf b/results/figures/set_theme_defaults.pdf
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diff --git a/results/figures/set_theme_histogram.pdf b/results/figures/set_theme_histogram.pdf
index e1df959..1c999fb 100644
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diff --git a/results/figures/set_theme_with_axes.pdf b/results/figures/set_theme_with_axes.pdf
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diff --git a/results/figures/set_theme_with_colors.pdf b/results/figures/set_theme_with_colors.pdf
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diff --git a/scripts/set_theme_reprex.R b/scripts/set_theme_reprex.R
index 6df61fa..5c822df 100644
--- a/scripts/set_theme_reprex.R
+++ b/scripts/set_theme_reprex.R
@@ -1,99 +1,99 @@
-# Simple examples of using set_theme() to standardize graph formatting
-#  Sean Higgins
-
-# Note: I recommend saving figures as .eps, but here I save as .pdf so that 
-#  the figures are easier to view on GitHub.
-
-# PACKAGES --------------------------------------------------------------------
-library(tidyverse)
-library(ggthemes) # for colorblind palette
-library(here)
-
-# FUNCTIONS -------------------------------------------------------------------
-# Read in set_theme function
-source(here("scripts", "programs", "set_theme.R"))
-
-# DATA ------------------------------------------------------------------------
-# We will use the mtcars dataframe which was already loaded with tidyverse
-
-# ANALYSIS --------------------------------------------------------------------
-# Use the defaults
-mtcars %>% ggplot() + 
-  geom_point(aes(y = hp, x = wt)) + 
-  labs(y = "Horsepower", x = "Weight") +
-  set_theme()
-ggsave(
-  here("results", "figures", "set_theme_defaults.pdf"), 
-  width = 8, # important to explicitly set these arguments 
-  height = 4 # for reproducibility of graphs 
-    # (otherwise will depend on size of Rstudio plots pane)
-)
-
-# Add x and y axes at 0, decrease plot margins,
-#  remove extra space below 0, 
-#  add some cushion to the right of the y-axis title and above x-axis title.
-mtcars %>% ggplot() + 
-  geom_point(aes(y = hp, x = wt)) + 
-  labs(y = "Horsepower", x = "Weight") +
-  geom_hline(yintercept = 0) + 
-  geom_vline(xintercept = 0) +
-  scale_y_continuous(expand = expansion(mult = c(0, 0.01))) + # get rid of space below 0
-  scale_x_continuous(expand = expansion(mult = c(0, 0.01))) + # and at top/right of plot
-    # note that expand = c(0, 0) would remove any space beyond scale but 
-    # that would lead the points with highest x or y values to get partially cut off
-    # so expand = expansion(mult = c(0, 0.01)) expands top/right by 1%
-    # see https://ggplot2.tidyverse.org/reference/expansion.html
-  set_theme(
-    y_title_margin = "r = 5",
-    x_title_margin = "t = 5", 
-    plot_margin = unit(c(t = 2, r = 2, b = 2, l = 2), "pt")
-  )
-ggsave(
-  here("results", "figures", "set_theme_with_axes.pdf"), 
-  width = 8, # important to explicitly set these arguments 
-  height = 4 # for reproducibility of graphs 
-  # (otherwise will depend on size of Rstudio plots pane)
-)
-
-# Add colors and legend
-mtcars %>% ggplot() + 
-  geom_point(aes(y = hp, x = wt, 
-    color = as.factor(cyl)), size = 2 # bigger size to see colors
-  ) +
-  labs(y = "Horsepower", x = "Weight", color = "Cylinders") +
-  geom_hline(yintercept = 0) + 
-  geom_vline(xintercept = 0) +
-  scale_y_continuous(expand = expansion(mult = c(0, 0.01))) + # get rid of space below 0
-  scale_x_continuous(expand = expansion(mult = c(0, 0.01))) + # and at top/right of plot
-    # note that expand = c(0, 0) would remove any space beyond scale but 
-    # that would lead the points with highest x or y values to get partially cut off
-    # so expand = expansion(mult = c(0, 0.01)) expands top/right by 1%
-    # see https://ggplot2.tidyverse.org/reference/expansion.html
-  scale_color_colorblind() +
-  set_theme(
-    y_title_margin = "r = 5",
-    x_title_margin = "t = 5", 
-    plot_margin = unit(c(t = 2, r = 2, b = 2, l = 2), "pt"), 
-    legend_position = "right" # default in set_theme() is "none"
-  )
-ggsave(
-  here("results", "figures", "set_theme_with_colors.pdf"), 
-  width = 8, # important to explicitly set these arguments 
-  height = 4 # for reproducibility of graphs 
-  # (otherwise will depend on size of Rstudio plots pane)
-)
-
-# Histogram
-mtcars %>% ggplot() + 
-  geom_histogram(aes(x = wt)) + 
-  labs(y = "Count", x = "Weight") + 
-  scale_y_continuous(expand = expansion(mult = c(0, 0.01))) +
-  geom_hline(yintercept = 0) + # add horizontal axis; 
-    # no vertical axis since histogram doesn't start at 0
-  set_theme()
-ggsave(
-  here("results", "figures", "set_theme_histogram.pdf"), 
-  width = 8, # important to explicitly set these arguments 
-  height = 4 # for reproducibility of graphs 
-  # (otherwise will depend on size of Rstudio plots pane)
-)
+# Simple examples of using set_theme() to standardize graph formatting
+#  Sean Higgins
+
+# Note: I recommend saving figures as .eps, but here I save as .pdf so that 
+#  the figures are easier to view on GitHub.
+
+# PACKAGES --------------------------------------------------------------------
+library(tidyverse)
+library(ggthemes) # for colorblind palette
+library(here)
+
+# FUNCTIONS -------------------------------------------------------------------
+# Read in set_theme function
+source(here("scripts", "programs", "set_theme.R"))
+
+# DATA ------------------------------------------------------------------------
+# We will use the mtcars dataframe which was already loaded with tidyverse
+
+# ANALYSIS --------------------------------------------------------------------
+# Use the defaults
+mtcars %>% ggplot() + 
+  geom_point(aes(y = hp, x = wt)) + 
+  labs(y = "Horsepower", x = "Weight") +
+  set_theme()
+ggsave(
+  here("results", "figures", "set_theme_defaults.pdf"), 
+  width = 8, # important to explicitly set these arguments 
+  height = 4 # for reproducibility of graphs 
+    # (otherwise will depend on size of Rstudio plots pane)
+)
+
+# Add x and y axes at 0, decrease plot margins,
+#  remove extra space below 0, 
+#  add some cushion to the right of the y-axis title and above x-axis title.
+mtcars %>% ggplot() + 
+  geom_point(aes(y = hp, x = wt)) + 
+  labs(y = "Horsepower", x = "Weight") +
+  geom_hline(yintercept = 0) + 
+  geom_vline(xintercept = 0) +
+  scale_y_continuous(expand = c(0, 0.01)) + # get rid of space below 0
+  scale_x_continuous(expand = c(0, 0.01)) + # and at top/right of plot
+    # note that expand = c(0, 0) would remove any space beyond scale but 
+    # that would lead the points with highest x or y values to get partially cut off
+    # so expand = c(0, 0.01) expands top/right by 1%
+    # see https://ggplot2.tidyverse.org/reference/expansion.html
+  set_theme(
+    y_title_margin = "r = 5",
+    x_title_margin = "t = 5", 
+    plot_margin = unit(c(t = 2, r = 2, b = 2, l = 2), "pt")
+  )
+ggsave(
+  here("results", "figures", "set_theme_with_axes.pdf"), 
+  width = 8, # important to explicitly set these arguments 
+  height = 4 # for reproducibility of graphs 
+  # (otherwise will depend on size of Rstudio plots pane)
+)
+
+# Add colors and legend
+mtcars %>% ggplot() + 
+  geom_point(aes(y = hp, x = wt, 
+    color = as.factor(cyl)), size = 2 # bigger size to see colors
+  ) +
+  labs(y = "Horsepower", x = "Weight", color = "Cylinders") +
+  geom_hline(yintercept = 0) + 
+  geom_vline(xintercept = 0) +
+  scale_y_continuous(expand = c(0, 0.01)) + # get rid of space below 0
+  scale_x_continuous(expand = c(0, 0.01)) + # and at top/right of plot
+    # note that expand = c(0, 0) would remove any space beyond scale but 
+    # that would lead the points with highest x or y values to get partially cut off
+    # so expand = c(0, 0.01) expands top/right by 1%
+    # see https://ggplot2.tidyverse.org/reference/expansion.html
+  scale_color_colorblind() +
+  set_theme(
+    y_title_margin = "r = 5",
+    x_title_margin = "t = 5", 
+    plot_margin = unit(c(t = 2, r = 2, b = 2, l = 2), "pt"), 
+    legend_position = "right" # default in set_theme() is "none"
+  )
+ggsave(
+  here("results", "figures", "set_theme_with_colors.pdf"), 
+  width = 8, # important to explicitly set these arguments 
+  height = 4 # for reproducibility of graphs 
+  # (otherwise will depend on size of Rstudio plots pane)
+)
+
+# Histogram
+mtcars %>% ggplot() + 
+  geom_histogram(aes(x = wt)) + 
+  labs(y = "Count", x = "Weight") + 
+  scale_y_continuous(expand = c(0, 0.01)) +
+  geom_hline(yintercept = 0) + # add horizontal axis; 
+    # no vertical axis since histogram doesn't start at 0
+  set_theme()
+ggsave(
+  here("results", "figures", "set_theme_histogram.pdf"), 
+  width = 8, # important to explicitly set these arguments 
+  height = 4 # for reproducibility of graphs 
+  # (otherwise will depend on size of Rstudio plots pane)
+)